Xin Wang
Artificial Intelligence · with Zhu · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 381 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 92 citations into it
- Computer Vision and Pattern Recognition — 55 citations into it
- Graph Learning — 21 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Optimization & Training — 16 citations into it
- Multimodal Learning — 15 citations into it
- Natural Language Processing — 14 citations into it
- Molecular Biology — 9 citations into it
Whom Xin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Ross B. Girshick
- Diederik P. Kingma
- Kaiming He
- Alex Graves
- Yann LeCun
- J. Urgen Schmidhuber
Who trusts Xin Wang overall
Papers from Xin Wang's perspective
Ordered by how strongly the researchers Xin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Boosting Visual Question Answering with Context-aware Knowledge Aggregation (2020) — 102 citations
- A Survey on Curriculum Learning (2021) — 1,000 citations
- Disentangled Graph Convolutional Networks (2019) — 377 citations